It is worth noting that we utilize semantic labels instead of depth to inject context prior. One reason is that it is difficult to find a feasible and suitable representation of depth context. Although there exist some works proposing to use Kullback-Leibler divergence [1]} or planar structures [2]}, their methods are limited to only depth estimation task. But for joint task learning the correlation of different objects is harmful to semantic segmentation.
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